Scoring model · v3.2

How the model thinks. Fully documented.

Weights, features and training data are public for every investor and founder.

Dimensions + features

9 dimensions · 34 features · weights sum to 100

  • Team
    15%
    Repeat founder count
    Domain tenure
    Team completeness
  • Traction
    18%
    ARR scale
    Growth MoM
    Net revenue retention
    Logo churn
  • Market
    12%
    TAM est.
    Timing signals
    Wedge clarity
  • Product
    12%
    Shipping velocity
    Build quality
    Moat signals
  • Metrics hygiene
    6%
    Instrumentation coverage
    Cohort completeness
  • Round structure
    10%
    Instrument
    Lead
    Terms quality
    Runway post-close
  • Moat
    10%
    Data networks
    Switching cost
    IP / regulatory
  • Capital efficiency
    10%
    CAC:LTV
    Burn multiple
    Payback
  • Regulatory
    7%
    License posture
    Legal risk
    Compliance cadence

Training data

Samples28,400
Labels6,100 outcomes
Vintage2018–2025
SourcesPlatform + partners
Last trained2026-04-03
Next scheduled2026-05-01

Quality signals

Information coefficient0.62
Precision @ score≥720.81
Calibration error0.04
Drift (W1)0.03